Johannes Walter’s scientific contributions

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Publications (2)


Methodology for Resilience Assessment for Rail Infrastructure Considering Cyber-Physical Threats
  • Chapter

February 2023

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36 Reads

Lecture Notes in Computer Science

Corinna Köpke

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Johannes Walter

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Eros Cazzato

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[...]

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In the EU project SAFETY4RAILS, the project partners developed a collaborative toolkit that is able to assess and eventually improve the resilience of rail and metro transportation and its infrastructure against various cyber, physical and combined cyber-physical threats. In general, to improve a property of a system such as resilience, it is necessary to assess that property first. Therefore, in this paper, we focus on the aspect of assessing the resilience by the synergistic collaboration of two tools out of this toolkit: CuriX, which is a tool for monitoring and detecting abnormal behaviour of infrastructure in the presence of threats, and CaESAR, which can asses propagation of performance losses over distributed systems that reflects its resilience. We showcase a resilience assessment for an exemplary scenario of combined cyber-physical threats which is applied to a metro system. In this assessment, the main functionalities and results of both tools as well as their combined usage will be described to demonstrate how their collaboration can contribute to an improved resilience assessment.


Modelling and Simulation of Railway Networks for Resilience Analysis

February 2023

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40 Reads

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2 Citations

Lecture Notes in Computer Science

The work focuses on the impact of disruptions on a railway transportation network. The modeling of the transportation network with the help of graph theory is presented and criticality/vulnerability assessment and impact propagation in these networks is studied. Furthermore, the work emulates defined mitigation measures in the modelled network and quantifies the resilience of the network. The results are produced from an agent-based simulation tool called CaESAR (Cascading Effects Simulation in Areas for increasing Resilience) that uses network graphs in cooperation with their behavioral characteristics. The tool is under integration with a broader framework (S4RIS platform) designed under the EU H2020 project SAFETY4RAILS aimed at integrating multiple solutions to be made available to operators and first responders for better responses in case of threats and disruptions.

Citations (1)


... It indicates how likely disruptions or failures are within the system. A higher probability of failure under a given distress level suggests vulnerability, while a lower one implies robustness for disasters of a certain magnitude [6], [17], [106]- [108]. By using historical data, expert opinions, and predictive models, this attribute helps identify risks. ...

Reference:

A Unified Framework for Evaluating the Resilience of Critical Infrastructure: Delphi Survey Approach
Modelling and Simulation of Railway Networks for Resilience Analysis
  • Citing Chapter
  • February 2023

Lecture Notes in Computer Science